ArcGIS Gallery¶
Using ArcGIS For High-Resolution Images¶
- Data available at: https://server.arcgisonline.com/arcgis/rest/services
- Following services are available:
- World_Physical_Map
- World_Shaded_Relief
- World_Topo_Map
- NatGeo_World_Map
- World_Street_Map
- World_Imagery
- Ocean_Basemap
- World_Terrain_Base
- USA_Topo_Maps
- NGS_Topo_US_2D
- ESRI_Imagery_World_2D
- ESRI_StreetMap_World_2D
World_Physical_Map¶
In [13]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('World_Physical_Map'), 8)
plt.show()
if __name__ == '__main__':
main()
World_Shaded_Relief¶
In [2]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('World_Shaded_Relief'), 8)
plt.show()
if __name__ == '__main__':
main()
World_Topo_Map¶
In [3]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('World_Topo_Map'), 8)
plt.show()
if __name__ == '__main__':
main()
NatGeo_World_Map¶
In [4]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('NatGeo_World_Map'), 8)
plt.show()
if __name__ == '__main__':
main()
World_Street_Map¶
In [5]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('World_Street_Map'), 8)
plt.show()
if __name__ == '__main__':
main()
World_Imagery¶
In [6]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('World_Imagery'), 8)
plt.show()
if __name__ == '__main__':
main()
Ocean_Basemap¶
In [7]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('Ocean_Basemap'), 8)
plt.show()
if __name__ == '__main__':
main()
World_Terrain_Base¶
In [8]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('World_Terrain_Base'), 8)
plt.show()
if __name__ == '__main__':
main()
USA_Topo_Maps¶
In [9]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('USA_Topo_Maps'), 8)
plt.show()
if __name__ == '__main__':
main()
NGS_Topo_US_2D¶
In [10]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('NGS_Topo_US_2D'), 8)
plt.show()
if __name__ == '__main__':
main()
ESRI_Imagery_World_2D¶
In [11]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('ESRI_Imagery_World_2D'), 8)
plt.show()
if __name__ == '__main__':
main()
ESRI_StreetMap_World_2D¶
In [12]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('ESRI_StreetMap_World_2D'), 8)
plt.show()
if __name__ == '__main__':
main()
